Instructions to use sgugger/funnel-random-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/funnel-random-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sgugger/funnel-random-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sgugger/funnel-random-tiny") model = AutoModel.from_pretrained("sgugger/funnel-random-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39b686f31f2f49498d7a4747241e1aba09432df59ad3470e35b6f23f5c30ddf6
- Size of remote file:
- 250 kB
- SHA256:
- 0e307dba3efaaa631dda390b1053397111a1e4c3c34302e379cbf6280da5185d
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